Your Agency Isn’t Broken. It’s Just Running the Wrong OS
Agencies are still selling hours. But clients are buying outcomes
Clients no longer want long meetings, big decks, or five-person teams to write a social media post. They want speed, clarity, and impact — delivered by teams who know how to work smarter.
Having operated in both the agency and client worlds, I will provide a clear, practical roadmap for how agencies can evolve before they’re outpaced.
What’s Breaking
Briefs are being written by ChatGPT
Assets generated by Midjourney or Runway
Strategy driven by performance data, rather than decks or recycled presentations :)
Clients expect answers in real-time, not after 3 rounds of approval and a countless reminder emails.
The future agency isn’t built around departments. It’s structured for flexibility — with fast-moving teams and tools that support the work instead of slowing it down.
Here’s how agencies need to evolve — one move at a time
If I were running an agency today, here’s what I’d change first:
1. From Selling Hours → To Outcome-Based Value
Time isn’t the value — outcomes are. Clients don’t want to pay for hours or headcount. They want progress.
Old: “20 hours of social media support per month”
Current: “10 posts/month across 3 platforms”
Next: “10 optimized posts/week designed to increase engagement by 15% — with insights, iteration, and creative testing included”
You’re not just delivering content. You’re delivering measurable momentum.
That’s not just a deliverable. That’s a promise.
2. From Blank-Page Ideation → To AI-Generated First Drafts
Stop starting from scratch. Use AI to generate the first round — headlines, layouts, messaging.
AI tools are revolutionizing the brainstorming process by providing a starting point for ideation. AI-powered platforms can analyze data, identify trends, and generate creative concepts based on specific parameters. This allows marketers to quickly explore a wide range of ideas and refine them to meet their specific needs.
How it works in practice:
Brief the tool clearly: “10 headlines targeting mid‑market e‑commerce brands, urgent tone”
Let AI generate multiple initial drafts in minutes.
Then: You refine, adapt tone, and choose what fits best.
Optionally, roll out mini‑tests (social, email, ad copy) to see what resonates before scaling.
AI builds the base. People shape the edge.
3. From Creative Silos → To Agile Pods
Department handoffs kill speed. Instead, build small, focused pods — strategist + content + client lead — all using shared tools and dashboards.
The shift towards small, cross-functional teams, augmented by AI tools, promotes collaboration and agility. These teams bring together individuals with diverse skills and perspectives, allowing them to work together seamlessly to achieve common goals. AI tools provide these teams with the data, insights, and automation they need to be more effective.
How pods work in practice:
Cross-functional teams of 4–8 people—designer, copy, social media/strategist, Community lead, and client lead—work together end to end .
Pods own a specific outcome—e.g., launch a campaign, build a product feature, run a GTM test—in short sprints (1–2 weeks).
They sit together (physically or virtually), hold daily syncs, demos, and retrospectives—minimizing handoffs .
No back-and-forth handoffs
Start small:
Form a single pod around a live project—assign all roles together.
Let them own the goal—e.g., drive a campaign or launch a product.
Meet regularly—plan together, update progress, reflect and improve.
Scale once you see repeatable results and faster execution.
This isn’t restructuring—it’s unleashing autonomy, speed, and ownership.
4. From Manual Execution → To AI-Augmented Production
Why are people still resizing banners manually or rewriting three versions of an ad? Automate the repetition. Keep your team focused on decisions, not formatting.
Here’s what AI can do—backed by real results:
Automate repetitive tasks like resizing visuals, drafting variants, and formatting reports
Free up your team to focus on strategic thinking, not busywork
Here’s how to start:
Audit your manual tasks — list repetitive jobs like resizing, reformatting, or versioning.
Choose a tool — design AI (e.g. Canva AI, Runway), copy assistants, or workflow bots (e.g. Zapier).
Pilot on one project — let AI do ~80%, have your team refine the rest.
Measure impact — time saved, fewer errors, higher focus on meaningful work.
Expand gradually — replicate the playbook across teams.
This is not corner-cutting—it’s removing friction
5. From Static Reports → To Live Dashboards
No more 20-slide wrap-ups. Set up a simple, real-time dashboard with only what matters — engagement, spend, creative tests, traffic.
Let the client feel the impact as it happens, not weeks later.
What’s driving this change:
Agencies gain time savings because dashboards automate data updates—no more manual report building.
Clients get 24/7 visibility, fostering trust and shared understanding of progress.
Teams can spot issues early—whether in engagement or traffic—so they can act now, not later.
How to get started:
Choose a simple live-dash tool (e.g., Grafana, Whatagraph).
Pull in key data—campaign metrics, website traffic, brand reputation score, spend, conversion rates.
Display only what matters—with clear visualizations and filters.
Set alerts for anomalies, so your team can react immediately.
Grant dashboard access to clients—build transparency and reduce report requests.
6. From Long Retainers → To Modular Subscriptions
The modern client wants flexibility and consistency.
Break your services into clear, outcome-based packages with predictable deliverables, goals, and pricing.
Let them scale up or down. Think like a SaaS — not a service shop.
Mindset Shift
Agencies shouldn’t just do the work — they should build a system that makes doing the work faster, smarter, and more valuable to the client.
COO at Crowd Analyzer | Top 2% Arabic SaaS & Media Intelligence | Digital & Social Data Insights, Cross-Functional Teams Leadership | Championing People Culture
4wOn spot! Very nice article. 👌
Lead Data Scientist | Data Centric AI
4wThis would change the pricing strategy from cost+/hourly based to value based.